Data Analytics Engineer

Description

Summary: Quadient seeks a Data Analytics Engineer to design and build scalable data models and pipelines, transforming raw data into business-ready insights across the organization. Highlights: 1. Transforming raw data into trusted, business-ready insights 2. Designing and building scalable data models and pipelines 3. Working at the intersection of data engineering and analytics Are you passionate about transforming raw data into trusted, business\-ready insights? Quadient is looking for a **Data Analytics Engineer** to join our Marketing Data \& Operations team. In this role, you will design and build scalable data models and pipelines that power dashboards, analytics, and reporting across the organization. You’ll work at the intersection of **data engineering and analytics**, helping teams turn complex data from multiple systems into reliable datasets that drive decision\-making. The role also plays a key part in the migration of our legacy on\-premise platform to a modern cloud data stack. * Design, build, and maintain analytics\-ready data models that power dashboards, reports, and advanced analysis. * Develop and maintain **dbt projects**, ensuring high\-quality data models, tests, and documentation. * Build and orchestrate data pipelines using **Dagster or similar orchestration frameworks**. * Implement data quality checks and monitoring to ensure accuracy and consistency. * Optimize pipelines and data models for performance, scalability, and cost efficiency. * Collaborate with Marketing, Operations, and Analytics teams to define **metrics, KPIs, and reporting needs**. * Maintain clear documentation of data models, metrics definitions, and pipeline logic. * Work closely with IT and data platform teams to align with governance, security, and engineering standards.